In this role, you’ll lead the Scene Understanding Team’s computer vision research and development. This entails everything from designing systems capable of calibrating hundreds of cameras to implementing state-of-the-art 3D reconstruction methods and semantic segmentation.
Responsibilities
- Lead the development of scene understanding systems responsible for calibrating spaces that contain hundreds of cameras.
- Translate state-of-the-art research into scalable, maintainable engineering systems.
- Manage ‘scene calibration’ technologies within the Scene Understanding Team by facilitating backlog refinements, communicating with stakeholders,,and collaborating on roadmaps with product managers.
- Work closely with other technology departments to deploy, monitor, and support Scene Understanding Services in hundreds of stores.
- Promote and enforce best practices in software development and project management.
- Mentor engineers and contribute to creating a collaborative remote team environment.
- Stay current with emerging AI trends and technologies to assess their potential applications in current and future projects.
Required Qualifications
- Bachelor's or master's degree in computer science or a related field
- 6+ years of experience as a Software Engineer
- Extensive experience in Python
- Proven experience working with RESTful APIs and OpenAPI, gRPC, and Protobuf, with knowledge of their design best practices and common libraries
- Proven experience interfacing with AI projects, with a focus on computer vision and geometry
- Proven experience in production.
- Excellent leadership, communication, and management skills
Additional Qualifications (desired)
- Experience with asynchronous processes and event-driven architectures
- Experience with containerized applications, Kubernetes and Docker
- Experience with Azure
- Experience with multi-view stereo technologies (turning images into 3D), such as Colmap
- Experience with SLAM or Structure from Motion
- Experience in a fast-paced, product-driven startup environment
- Experience with Golang
- Experience in the autonomous retail industry or a similar domain
- Experience in MLOps, DevOps, and build/release/deployment automation.
Top Skills
What We Do
AiFi provides the most flexible AI platform that enables retailers to affordably deploy and scale autonomous shopping solutions across their businesses. Leveraging computer vision, AiFi adapts to existing store formats without the need for shelf sensors, and provides advanced tracking algorithms that can scale up to 10,000 square feet to support various shopper journeys such as an app, credit card, gated, or hybrid entry. AiFi works with top retailers worldwide such as ALDI South Group, Carrefour, Compass Group, Morrisons, Żabka Group, REWE, and Verizon. AiFi has the highest number of computer vision powered autonomous stores across the globe. The company has raised a total of $80 million from investors including Verizon Ventures, Qualcomm Ventures, HP Tech Ventures, Mithril Capital, Cervin Ventures, TransLink Capital, Plum Alley, Duke Angel Network, Reaction, GS Future, Drive Catalyst, and Evolution. For more information, please visit aifi.com.
